Gas Sensors

Image Part Number Description / PDF Quantity Rfq
VQ35MB

VQ35MB

Amphenol

PELLISTOR PR 4.2V/55MA TC CLOSED

0

EC4-200-CL2

EC4-200-CL2

Amphenol

4 SERIES CHLORINE SENSOR 200 PPM

6

IR21EM

IR21EM

Amphenol

SERIES 2, 16MM, 0 TO 5% CO2 IR S

0

INIR-PR2.1%

INIR-PR2.1%

Amphenol

INTEGRATED INFRARED PROPANE(R290

23

IR602/2

IR602/2

Amphenol

IR SENSOR HEAD FOR 0-5%/100% HC

0

IR21GM

IR21GM

Amphenol

SERIES 2 , 16MM, 0-5% CO2 IR SEN

0

IR22BD

IR22BD

Amphenol

EX-IA CH4 INFRARED GAS SENSOR

23

IR601/3

IR601/3

Amphenol

IR SENSOR HEAD FOR 0-5%CO2 - 3/4

0

IR12BD

IR12BD

Amphenol

0-5% VOL. CH4 INFRARED GAS SENSO

23

IR603/1

IR603/1

Amphenol

IR SENSOR HEAD FOR 0-5%/100% BRO

0

IR603/3

IR603/3

Amphenol

IR SENSOR HEAD FOR 0-5%/100% BRO

0

IR21EJ

IR21EJ

Amphenol

SERIES 2, 19MM, 0-5% CO2 IR SENS

22

IR601/1

IR601/1

Amphenol

IR SENSOR HEAD FOR 0-5%CO2 - M20

0

IR11BD

IR11BD

Amphenol

0-5% VOL. CO2 INFRARED GAS SENSO

20

IR15TT-M

IR15TT-M

Amphenol

19MM, 0-5% CO2 AND 0-5%/100% HC

21

IR601/2

IR601/2

Amphenol

IR SENSOR HEAD FOR 0-5%CO2 - 1/2

0

VQ546M

VQ546M

Amphenol

VQ46 PELLISTOR, VQ500 HEAD

14

EC4-250-NO

EC4-250-NO

Amphenol

4 SERIES NO GAS SENSOR 250PPM

15

IR15TT

IR15TT

Amphenol

19MM, 0-5% CO2 AND 0-5%/100% BRO

22

EC4-1-CLO2

EC4-1-CLO2

Amphenol

4 SERIES CHLORINE DIOXIDE GAS SE

11

Gas Sensors

1. Overview

Gas sensors are detection devices that identify and measure gas concentrations in the environment. They convert chemical interactions with gas molecules into electrical signals for quantitative analysis. These sensors play a critical role in industrial safety, environmental monitoring, healthcare, and smart home systems by preventing gas leaks, ensuring air quality, and enabling process control.

2. Major Types and Functional Classification

TypeFunctional FeaturesApplication Examples
ElectrochemicalHigh accuracy, stable baseline, requires oxygenCO detectors, O2 monitors
SemiconductorLow cost, broad detection range, temperature-dependentIndoor air quality sensors
Catalytic CombustionExplosive gas detection, requires periodic calibrationIndustrial methane detectors
Infrared (IR)Non-contact measurement, high selectivityCO2 HVAC monitoring
Photoionization (PID)VOC detection at ppm levels, UV lamp requiredEnvironmental pollution monitoring

3. Structure and Components

A typical gas sensor consists of: - Sensing element (metal oxide/electrolyte membrane) - Signal conditioning circuit (amplifier, ADC) - Housing with gas inlet ports - Temperature/humidity compensation module - Communication interface (UART/I2C)

4. Key Technical Specifications

ParameterDescription
Detection RangeMeasurable gas concentration span (ppm to %LEL)
SensitivitySignal change per gas concentration unit (mV/ppm)
Response TimeT90 response speed (3-300 seconds)
AccuracyMeasurement error margin ( 2-10%)
Operating TemperatureFunctional range (-20 C to +50 C typical)
Long-term StabilityDrift specification (5-15% per year)

5. Application Fields

  • Industrial safety: Fixed gas detection systems
  • Environmental monitoring: Urban air quality stations
  • Healthcare: Medical breath analyzers
  • Smart homes: Combustible gas alarms
  • Automotive: Cabin air quality management

6. Leading Manufacturers and Products

ManufacturerProduct SeriesKey Features
HoneywellXNX Universal TransmitterDual-sensor redundancy
Figaro EngineeringTGS2600Low-power VOC detection
MembraporToxic Gas SensorsEletrochemical cells for Cl2
SenseairK-30 CO2 ModuleNDIR technology, 30ppm accuracy
AMS (Austria)ENS160 MOX SensorAI-based gas discrimination

7. Selection Guidelines

Key consideration factors:

  1. Target gas chemical properties
  2. Environmental conditions (temperature/humidity range)
  3. Required detection threshold and repeatability
  4. Power consumption budget
  5. Maintenance accessibility for calibration
  6. Cost vs. lifetime trade-offs

Industry Trends Analysis

Emerging development trends include: - Miniaturization through MEMS technology - Multi-gas detection using AI pattern recognition - Wireless self-powered IoT sensor nodes - Enhanced selectivity via nanomaterial coatings - Reduced cross-sensitivity through hybrid sensing methods

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